Hadil Abukwaik

Hadil Abukwaik

Senior Digitalization Specialist
Saudi Arabia
German, Arabic, English

About Me

Passionate about leveraging my diverse skill set in digitalization, software engineering, and AI to drive innovation at the intersection of machine learning and software development. Seeking opportunities that foster pro…

Experience

Digitalization Expert

BASF
May 2023 - Present · 3 years 6 months

- Initiating and leading Key Digitalization Capability projects, which vision and shape BASF's digital future, with cross-department team members serving multiple stakeholders.
- Collaborating on ML Excellence initiatives for next generation architecture and MLOps under the global digitalization strategy.
- Designing and implementing production-level components of the ML pipeline following agile and software engineering principles.
- Embedding context in industrial ML products using process engineering and process operation artifacts.
- Assessing architecture and refactoring ML products and platforms based on prioritized quality and business requirements.
- Contributing to the AI Strategy of BASF by defining and reviewing the growth directions, bare minimum measures, and enablement technologies and practices.
- Innovating digitalization solutions that utilize cutting-edge technologies including Generative AI, Foundational models, Multimodal models, and more.
- Coaching on ML and Generative AI topic to the company executives.

Senior Digitalization Specialist, Production AI

BASF Digital Solutions, Ludwigshafen, Germany
Present

<p>Collaborate on ML Excellence initiatives for next generation AI architecture and Ops under the sustainability strategy<br>
Design and code production-level components of the ML pipeline following agile and software engineering principles<br>
Contextualize industrial ML products by deriving knowledge graphs from process engineering and operation artifacts<br>
Assess architecture and refactor ML products and platforms based on prioritized quality and business requirements<br>
Build machine learning and deep learning models as an enabler for multiple engineering and operation use cases<br>
Coach executives on AI and Generative AI topics and innovate on use cases with business RoI analysis<br>
Initiate and lead key digitalization capability projects of cross-department members and serving business stakeholders<br>
Lead the conception and implementation of generative AI projects for industrial operation, leveraging Large Language Models (LLMs) and Multimodal algorithms to optimize operational processes<br>
Drive patent workshops, facilitate identification of innovative solutions, and write patents (4 filed patents)</p>

Scientist, Software Systems and Architecture Team

ABB Corporate Research Center, Ladenburg, Germany

<p>Participate and lead in different AI engineering, industrial automation, and software architecture projects<br>
Lead research on industrial ML and its MLOps and DataOps innovative solutions based on business needs<br>
Identify the value proposition of technology development from the viewpoint of business stakeholders, product owners, and customer beneficiaries<br>
Strategically balance short- and long-term product goals along with risk management<br>
Perform studies to assess new technologies and tools towards establishing a business value<br>
Write scientific papers on industrial research results, collaborate with universities, and supervise theses<br>
Collaborate in patent creativity workshops, collaborative ideation, and patent writing (31 filed patents)</p>

Lecturer

Distance and Independent Learning Center (DISC), University of Kaiserslautern, Germany

<p>Support and advice students in learning the "Software Engineering Introduction" course within the "Software Engineering for Embedded Systems" master program<br>
Hold discussion with students based on thorough industrial experiences and variant background<br>
Design and correct exams and exercises</p>

Researcher

Algorithm Accountability Lab, University of Kaiserslautern, Germany

<p>Analyze data of complex network<br>
Algorithm Engineering: Optimizing and developing data analysis algorithms</p>

Research Assistant

Fraunhofer IESE (Institute for Experimental Software Engineering), Kaiserslautern, Germany

<p>Collaborate in empirical software engineering research tasks</p>

Research Assistant

Software Engineering: Processes and Measurement Research Group (AGSE), University of Kaiserslautern, Germany

<p>Collaborate in software architecture and modelling research tasks<br>
Supervise students in seminar classes</p>

Graduate Teaching Assistant, Computer Science Department

George Mason University, Fairfax, VA, USA

<p>Grade graduate students’ work in SWE 619 (Software Specification and Construction)<br>
Grade undergraduate students’ work in SWE 332 (Software Design and Implementation)</p>

Software Developer

iScan Services Center, Sacramento, CA, USA

<p>Participate in reverse engineering, programming, testing, and software localization task</p>

Instructional Student Assistant, Computer Science Department

California State University, Sacramento, CA, USA

<p>Grade graduate students’ work in CSC 201 (Programming Principals)</p>

Lecturer

Engineering and Information Technology College, Al-Azhar University, Palestine

<p>Full responsibility for five sections of Java Programming and introduction to computer science<br>
Plan Software Engineering lessons in parallel with a case study<br>
Design assignments<br>
Discussion sections<br>
Graded exams</p>

Skills

Artificial Intelligence Computer Vision Data Science Machine Learning IT/OT/ET data integration IIOT analytics industrial data analysis context analysis plant topology model Piping and Instrumentation (P&ID) diagrams cause and effect (C&E) matrices Distributed Control System (DCS) Programmable Logic Controller (PLC) edge computing cloud-native applications APIs DevOps CI/CD model-based system engineering (MBSE) DataOps Data Mesh datasheets catalogues data governance data quality metrics continuous monitoring Large Language Models (LLMs) Langchain Azure OpenAI Retrieval Augmented Generation (RAG) prompt engineering Chroma DB machine learning deep learning TensorFlow Label-Studio CVAT Python MLflow TensorBoard Evidently Prometheus Grafana knowledge graphs NetworkX pyvis Gephi GQM paradigm ML holistic metrics ML deployment patterns requirements engineering DOORS RV&S architecture design
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